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Article Details

Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

An Improved Pulmonary Nodule Detection Scheme based on Multi-Layered Filtering and 3d Distance Metrics

Author 1: Baber Jahangir
Author 2: Muhammad Imran
Author 3: Qamar Abbas
Author 4: Shahina Rabeel1line
Author 5: Ayyaz Hussain

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Digital Object Identifier (DOI) : 10.14569/IJACSA.2016.070839

Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 7 Issue 8, 2016.

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Abstract: This paper proposed a computer-aided detection (CAD) system to automatically detect pulmonary nodules from thoracic computed tomography (CT) images. Automatically detect pulmonary nodules is a difficult job because of the large deviation in size, shape, location and density of nodules. The proposed CAD scheme applies multiple 3D disk-shaped laplacian filters to enhance the shape of spherical regions. Optimal multiple thresholding and 3D distance mapping is used to extract regions of interest and separate nodules. Finally, rule-based pruning removes easily dismissible false positive structures. The proposed system provides an overall nodule detection rate of 80% with an average of 12.2 false positives per scan. The experimental results reveals that the proposed CAD can attain a comparatively high performance.

Keywords: computer-aided detection system; nodule detection lung nodule

Baber Jahangir, Muhammad Imran, Qamar Abbas, Shahina Rabeel1line and Ayyaz Hussain, “An Improved Pulmonary Nodule Detection Scheme based on Multi-Layered Filtering and 3d Distance Metrics” International Journal of Advanced Computer Science and Applications(IJACSA), 7(8), 2016. http://dx.doi.org/10.14569/IJACSA.2016.070839

@article{Jahangir2016,
title = {An Improved Pulmonary Nodule Detection Scheme based on Multi-Layered Filtering and 3d Distance Metrics},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2016.070839},
url = {http://dx.doi.org/10.14569/IJACSA.2016.070839},
year = {2016},
publisher = {The Science and Information Organization},
volume = {7},
number = {8},
author = {Baber Jahangir and Muhammad Imran and Qamar Abbas and Shahina Rabeel1line and Ayyaz Hussain}
}


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